Radiographic imaging of the chest remains one of the most important and most challenging problems in radiology. The wide range of information that results from the great variation of radiation behind the lungs compared with that behind the mediastinum creates a very difficult imaging problem. The introduction and continued investigation of digital techniques have presented a potential solution to this problem. In this article, the authors describe the image-processing techniques of histogram equalization and adaptive filtration in digital chest imaging.